Course at a glance
Frequency
At your convenience
Duration
4 days
Study mode
Online or in person
Fees
$900-$1210 info below
What you will learn
This course deals with the analysis of categorical data, with emphasis on binary outcomes and commonly used methods. It is run with a mix of lecture presentations and practical work.
Course topics
- A brief review of the basic concepts of inference
- The distinction between categorical and numerical data
- Visual representations for categorical data
- Binomial distribution
- Approximate inference for binomial proportions: one proportion, and the difference between two independent proportions
- Idea of exact confidence intervals and application to one proportion
- Pearson's χ2 test
- Fisher’s exact test
- Alternative ways of comparing proportions: risk ratio and odds ratio, plus approximate inferences
- Exact inference for an odds ratio
- Concept of maximum likelihood
- Logistic regression
- Ordinal logistic regression for an ordinal outcome
- Nominal logistic regression
- Multi-level modelling for proportions.
Presenter
Professor Ian Gordon
The presenter is Professor Ian Gordon, the Director of the Statistical Consulting Centre. Ian has had extensive experience over two decades in the practical application of these methods and has delivered many statistics courses to participants coming from a wide variety of backgrounds.
Who should take this course?
The course is suitable for anyone who needs to analyse data that are categorical in nature, especially binary data. Models for such data are required in every discipline.
Participants will need to be comfortable with mathematical notation and reasoning, and have used statistical methods at a basic level; the course is not suitable for someone who has not studied statistics at an introductory level. For example, participants should know about hypothesis tests and confidence intervals. The course Statistics for Research Workers would be suitable preparation.
What people are saying
"Fantastic course – excellent teaching of both concepts and practical implementation."
"Analysis of categorical data, along with Statistics for Research Workers, will equip anyone with the understanding and ability to perform basic data analysis independently."
"This course opened up the exciting world of data analysis on a level reasonably easy to understand."
"Do you feel overwhelmed by the prospect of statistical analysis of your data? Contact the SCC and see your world change."
More information
-
Course cost
$1210
Course cost for University of Melbourne postgraduate students
$990
- The fee includes a comprehensive set of notes and morning and afternoon tea. Lunches are not provided.
- All prices include GST.
- GST does not apply if paying through your University School.
- $30 cancellation fee applies.
-
The course is typically run over four days with a weekend break, with four approximately equal-length sessions each day.
Book your course
Can’t find the course you want on a date that suits you?
Get general and specialist courses tailored to you.